Package: hbim 1.1.2

Michael P. Fay

hbim: Hill/Bliss Independence Model for Combination Vaccines

Calculate expected relative risk and proportion protected assuming normally distributed log10 transformed antibody dose for a several component vaccine. Uses Hill models for each component which are combined under Bliss independence. See Saul and Fay, 2007 <doi:10.1371/journal.pone.0000850>.

Authors:Michael P. Fay

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hbim.pdf |hbim.html✨
hbim/json (API)

# Install 'hbim' in R:
install.packages('hbim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

25 exports 0.61 score 1 dependencies 2 mentions 9 scripts 328 downloads

Last updated 1 years agofrom:9f0c312dc0. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-linuxNOTESep 17 2024

Exports:calc.foldrangeeff.mueff.rhoeff.sigmaequiv.abequiv.increasehbpphbpp.integrate1hbpp.integrate2hbpp.integrate3hbpp.simulatehbrrhbrr.integrate1hbrr.integrate2hbrr.integrate2.rhoeq1hbrr.integrate3hbrr.integrate3.rhoeq1hbrr.simulatemake.vplotlogm.respplotresp.equivplotresp.mixpp.mupp.rhopp.sigma

Dependencies:mvtnorm

Details of calculations for "Multicompent, single target vaccines"

Rendered fromhbimdetails.Rnwusingutils::Sweaveon Sep 17 2024.

Last update: 2014-03-05
Started: 2014-03-05